I am currently a Ph.D. student at the University of Connecticut. I previously completed a dual degree in Computer Science & Engineering and Mathematics at UConn. I began my research journey in the Laboratory of Machine Learning & Health Informatics, where I developed a strong interest in machine learning, which continues to be my primary research focus.
Education
University of Connecticut, Storrs, CT
- PhD of Computer Science & Engineering
University of Connecticut, Storrs, CT
- Bachelor of Computer Science & Engineering
- Bachelor of Mathematics B.A.
- Class of 2019, Honors Program, Dean’s list
- School of Engineering Scholar, New England Scholar
Experience
Research Assistant in UConn Laboratory of Machine Learning and Health Informatics (April 2017 - Present)
- Research in Machine Learning with applications on Healthinformatic and Drug Discovery. (See Projects in details)
- Supervisor: Professor Jinbo Bi
- Website: https://healthinfo.lab.uconn.edu/
Research Assistant in UConn Comcast Center for Excellence in Security Innovation (September 2017 - 2019)
- Collaborated with doctoral researchers to work on Secure Inter-Domain Routing project which aims to design softwares that provide a user-friendly interface for Internet Service Providers to adopt RPKI, a specialized public key infrastructure framework for securing routing.
- Supervisor: Professor Amir Herzberg
- Website: https://csi.uconn.edu/
Teaching Experience
- Teaching Assistant for CSE 2500 Introduction to Discrete Systems (Spring 2018)
- Teaching Assistant for CSE 3666 Introduction to Computer Architecture (Fall 2018)
- Teaching Assistant for CSE 1729 Introduction to Principles of Programming (Fall 2019)
- Teaching Assistant for CSE 3500 Algorithms and Complexity (Spring 2020)
- Teaching Assistant for CSE 3502 Theory of Computation (Fall 2020)
Publications
Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones Soumyashree Sahoo, Chinmaey Shende, Md Zakir Hossain, Parit Patel, Yushuo Niu, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russel, Dongjin Song, Qian Yang, Bing Wang ACM Transactions on Intelligent Systems and Technology
Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement Soumyashree Sahoo, Chinmaey Shende, Md Zakir Hossain, Parit Patel, Xinyu Wang, Md Ishtyaq Mahmud, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang 2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) 13-24
Predicting symptom improvement during depression treatment using sleep sensory data
Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel, Reynaldo Morillo, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7 3 1-21
Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder
Zhenxiang Gao, Xinyu Wang, Blake Blumenfeld Gaines, Xuetao Shi, Jinbo Bi, Minghu Song Molecular Informatics 42 (5), 2200215
Inferring phenotypes from substance use via collaborative matrix completion Jin Lu, Jiangwen Sun, Xinyu Wang, Henry Kranzler, Joel Gelernter, Jinbo Bi BMC systems biology 12, 15-27
Collaborative Phenotype Inference from Comorbid Substance Use Disorders and Genotypes
Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter, and Jinbo Bi Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 392-397, 2017.
Honors and Awards
- UConn School of Engineering Synchrony Financial Scholarship in Cybersecurity (October 2017)
- Third Overall in UConn 2017 Calculus Competition (April 2017)
- 2016 New England Scholars (January 2017)
- Dean’s list in UConn School of Engineering and School of Liberal Arts and Sciences (Fall 2015 - Present)
Contact
- Email: xinyu.wang@uconn.edu